Finding experiments¶
To use incense we first have to instantiate an experiment loader that will enable us to query the database for specific runs.
QuerySet([Experiment(id=42, name=autoencoder_test), Experiment(id=43, name=autoencoder_test), Experiment(id=44, name=autoencoder_test), Experiment(id=45, name=autoencoder_test), Experiment(id=46, name=autoencoder_test), Experiment(id=47, name=autoencoder_test), Experiment(id=48, name=autoencoder_test), Experiment(id=49, name=autoencoder_test)])
pmap({'iteration': False, 'epochs': 250, 'autoencoder_type': 'nomal_dim_tied', 'batch_size': 256, 'seed': 588459390, 'targets_type': 'Mnist'})
| targets_type | iteration | autoencoder_type | batch_size | |
|---|---|---|---|---|
| exp_id | ||||
| 42 | Mnist | False | nomal_dim_tied | 256 |
| 43 | Mnist | False | nomal_dim_tied | 128 |
| 44 | Mnist | False | nomal_dim_tied | 64 |
| 45 | Mnist | False | nomal_dim_tied | 32 |
| 46 | 10_Targets | False | nomal_dim_tied | 256 |
| 47 | 10_Targets | False | nomal_dim_tied | 128 |
| 48 | 10_Targets | False | nomal_dim_tied | 64 |
| 49 | 10_Targets | False | nomal_dim_tied | 32 |
predictions_df_0
predictions_df_10
predictions_df_20
predictions_df_30
predictions_df_40
predictions_df_50
predictions_df_60
predictions_df_70
predictions_df_80
predictions_df_90
predictions_df_100
/home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:397: UserWarning: Warning: converting a masked element to nan. dv = (np.float64(self.norm.vmax) - /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:398: UserWarning: Warning: converting a masked element to nan. np.float64(self.norm.vmin)) /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:405: UserWarning: Warning: converting a masked element to nan. a_min = np.float64(newmin) /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:410: UserWarning: Warning: converting a masked element to nan. a_max = np.float64(newmax) <string>:6: UserWarning: Warning: converting a masked element to nan. /home/hicky/anaconda3/lib/python3.7/site-packages/numpy/ma/core.py:711: UserWarning: Warning: converting a masked element to nan. data = np.array(a, copy=False, subok=subok)
/home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:397: UserWarning: Warning: converting a masked element to nan. dv = (np.float64(self.norm.vmax) - /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:398: UserWarning: Warning: converting a masked element to nan. np.float64(self.norm.vmin)) /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:405: UserWarning: Warning: converting a masked element to nan. a_min = np.float64(newmin) /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:410: UserWarning: Warning: converting a masked element to nan. a_max = np.float64(newmax) <string>:6: UserWarning: Warning: converting a masked element to nan. /home/hicky/anaconda3/lib/python3.7/site-packages/numpy/ma/core.py:711: UserWarning: Warning: converting a masked element to nan. data = np.array(a, copy=False, subok=subok)
/home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:397: UserWarning: Warning: converting a masked element to nan. dv = (np.float64(self.norm.vmax) - /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:398: UserWarning: Warning: converting a masked element to nan. np.float64(self.norm.vmin)) /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:405: UserWarning: Warning: converting a masked element to nan. a_min = np.float64(newmin) /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:410: UserWarning: Warning: converting a masked element to nan. a_max = np.float64(newmax) <string>:6: UserWarning: Warning: converting a masked element to nan. /home/hicky/anaconda3/lib/python3.7/site-packages/numpy/ma/core.py:711: UserWarning: Warning: converting a masked element to nan. data = np.array(a, copy=False, subok=subok)
/home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:397: UserWarning: Warning: converting a masked element to nan. dv = (np.float64(self.norm.vmax) - /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:398: UserWarning: Warning: converting a masked element to nan. np.float64(self.norm.vmin)) /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:405: UserWarning: Warning: converting a masked element to nan. a_min = np.float64(newmin) /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:410: UserWarning: Warning: converting a masked element to nan. a_max = np.float64(newmax) <string>:6: UserWarning: Warning: converting a masked element to nan. /home/hicky/anaconda3/lib/python3.7/site-packages/numpy/ma/core.py:711: UserWarning: Warning: converting a masked element to nan. data = np.array(a, copy=False, subok=subok)
/home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:397: UserWarning: Warning: converting a masked element to nan. dv = (np.float64(self.norm.vmax) - /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:398: UserWarning: Warning: converting a masked element to nan. np.float64(self.norm.vmin)) /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:405: UserWarning: Warning: converting a masked element to nan. a_min = np.float64(newmin) /home/hicky/anaconda3/lib/python3.7/site-packages/matplotlib/image.py:410: UserWarning: Warning: converting a masked element to nan. a_max = np.float64(newmax) <string>:6: UserWarning: Warning: converting a masked element to nan. /home/hicky/anaconda3/lib/python3.7/site-packages/numpy/ma/core.py:711: UserWarning: Warning: converting a masked element to nan. data = np.array(a, copy=False, subok=subok)
